• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.1-7
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• 2019

When using conventional 3D image scanning methods, it is common for image scanning to be done manually, which is labor-intensive. Scanning a space made up of complicated equipment or scanning a narrow space that is difficult for the user to enter, is problematic, resulting in quality degradation due to the presence of shadow areas. This paper proposes a method to scan an image using a rover equipped with a scanner in areas where it is difficult for a person to enter. To control the scan path precisely, the 3D image remote scan automation method based on the rover move rule definition is described. Through the study, the user can automate the 3D scan plan in a desired manner by defining the rover scan path as the rule base.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10b
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• pp.212-216
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• 2007

3D 스캐너의 보급으로 3차원 모델 생성이 가능하게 되었으나 결과로 얻은 형상이 아직 사진에서와 같은 사실적 묘사에 미치지 못하고 있다. 본 논문에서는 얼굴의 3D 스캔 데이터에 효율적인 텍스처 매핑을 통해 사실적 렌더링 결과를 얻을 수 있는 방법을 기술한다. 3D 얼굴 스캔 데이터와 얼굴의 사진 이미지의 좌표를 정확하게 맞추어 3D 스캔 데이터와 얼굴 이미지의 버덱스를 매치시켜주고, 얼굴 이미지의 해당 버텍스에 들어 있는 칼라 값을 3D 스캔 데이터의 버텍스에 넘겨주는 텍스처 매핑을 구현한다. 본 논문에서는 정면, 좌측, 우측 3장의 이미지를 이용하여 간단히 멀티텍스처 매핑을 수행하는 방법과 이 때 발생하는 사진 간의 경계선에서 발생하는 문제 해결에 대해 기술한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.896-897
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• 2015

본 연구는 3D 이미지 스캔 데이터 기반으로, SWEEPING 형상을 효과적으로 역설계하는 기술에 관한 것이다. 사용자가 미리 정의한 형상 단면 모델 데이터베이스를 이용해, 3차원 SWEEPING 형상을 자동으로 역설계하는 알고리즘을 제안한다. 이를 위해, 3D 이미지 스캔 데이터인 포인트 클라우드에서 자동으로 추출한 단면 포인트들을 처리해, 파라메터 정보를 추출하고, 미리 정의된 형상 단면들과 상호간 유사도를 비교한 후, 가장 유사한 형상 단면을 획득한다. 이러한 기술은 SWEEPING 형상 모델의 역설계 과정을 자동화하는 데 도움을 줄 것이다.

• Journal of Dental Rehabilitation and Applied Science
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• v.34 no.2
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• pp.104-115
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• 2018

Purpose: The purpose of this study is to evaluate the image acquisition ability of intraoral scanners by analyzing the comprehensiveness of scanned images from standardized model, and to identify problems of the model. Materials and Methods: Cast models and 3D-printed models were prepared according to international standards set by ISO12836 and ANSI/ADA no. 132, which were then scanned by model scanner and two different intraoral scanners (TRIOS3 and CS3500). The image acquisition performance of the scanners was classified into three grades, and the study was repeated with varying surface conditions of the models. Results: Model scanner produced the most accurate images in all models. Meanwhile, CS3500 showed good image reproducibility for angled structures and TRIOS3 showed good image reproducibility for rounded structures. As for model ingredients, improved plaster model best reproduced scan images regardless of the type of scanner used. When limited to 3D-printed model, powdered surface condition resulted in higher image quality. Conclusion: When scanning structures beyond FOV (field of view) in standardized models (following ISO12836 and ANSI/ADA 132), lack of reference points to help distinguish different faces confuses the scanning and matching process, resulting in inaccurate display of images. These results imply the need to develop a new standard model not confined to simple pattern repetition and symmetric structure.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.644-646
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• 1999

본 논문은 한 물체에 대해 스캔 위치 정보가 없는 여러 시점의 레인지 이미지들로부터 3차원 형상 복원을 위한 정합 알고리즘을 제안한다. 기존의 정합 방법은 스캔 위치 정보와 기하학 정보를 이용하여 레인지 이미지들을 정렬시킨 반면, 본 논문의 정합 방법은 스캔 위치와는 독립적으로 수행되며 기하학 정보와 텍스쳐 정보를 함께 이용하여 정렬시킨다. 그러므로 텍스쳐가 있는 여러 장의 레인지 이미지들로부터 3차원 형상을 보다 정확하고 효율적으로 복원할 수 있다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.269-272
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• 2006

병원의 각종 측정 장비에서 출력되는 결과지나 의사들이 작성한 기록지를 스캔하여 이미지형태로 저장하는 이미징 시스템 개발이 크게 요구되고 있다. 본 논문에서는 신경망과 그래픽 기법을 사용하여 대학병원 심전도실에서 사용되는 여섯 종류의 심전도 출력지를 이미지 형태로 저장하고 검색하는 이미징 시스템의 설계와 구현에 대해 논하였다. 구현된 시스템은 여섯 종류의 심전도 출력지를 분류하고, 분류된 각 출력지에 인쇄된 중요한 측정 데이터를 인식하여 데이터베이스에 저장한다. 심전도 출력지의 분류는 각 샘플 서식들의 평균 히스토그램을 구한 다음 새로운 출력지가 들어올 때 평균 히스토그램과의 거리가 가장 가까운 출력지로 분류하는 nearest-neighbor 방법을 사용하였다. 출력지에 인쇄된 데이터의 인식을 위해 먼저 XML로 작성한 출력지별 추출 정보를 기반으로 스캔한 이미지의 영역 분할 작업을 수행한다. 분할된 영역들은 신경망을 이용해 문자 인식을 하고, 인식된 문자들이 데이터베이스의 해당 속성값으로 저장된다. 스캔한 출력지는 의사들이 주석을 붙이거나 조건 검색을 위해 이미지 형태로 저장된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1759-1764
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• 2012

This paper describes FPGA design and realization using the shading correction algorithm for a CCD scan image enhancement. The shading algorithm is used by LUT (Look-up Table). The image enhancement results from that the histogram minimum value and maximum with respect to all pixels of the CCD image should be extracted, and the shading LUT is constructed to keep constant histogram with offset data. The output of sensor be converted to corrected LUT image in preprocessing, and the converting system is realized by FPGA to be enabled to operate in real time. The result of the experimentation for the proposed system is showed to take the scanning time 2.4ms below. The system is presented to be based on a low speed processor system to scan enhanced images in real time and be guaranteed to be low cost.

• Journal of the korean academy of Pediatric Dentistry
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• v.49 no.1
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• pp.57-64
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• 2022

Additional dentition images are needed because the dentitions are distorted in cone-beam computed tomography (CBCT) due to streak artifacts and non-uniformity of the x-ray beam. The purpose of this study is to evaluate the feasibility of improving the dentition image of CBCT scan with intraoral scanner instead of plaster models. Maxilla images from plaster models, two intraoral scanners, and CBCT of 20 patients aged 12 to 18 were used in this study. With one of the intraoral scanners, the full arch was scanned by three segments and combined into a complete full arch. Virtual skull-dentition hybrid images from intraoral scanners were superimposed with the images from plaster models to evaluate the coordinate value difference and distance at reference points. The results showed that the coordinate value difference and distance were smallest with segmented intraoral scan, which showed only 2 ㎛ distance. Intraoral scan may provide good dentition images for virtual skull-dentition images.

• The Journal of Korean Academy of Prosthodontics
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• v.55 no.1
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• pp.61-70
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• 2017

In this case, the impression surface of the existing denture was scanned and was inverted three-dimensionally to express the residual ridge form. Implant planning was performed on the superimposed data of the CT with the scanned image of the denture with radiopaque markers attached. At the day of surgery, customized abutments fabricated in accordance with the form of the gingival margin were linked with fixtures and temporary restorations were set. In the process of fabricating the final prosthesis after the osseointegration of implant fixture, the intraoral scan images at abutment level were merged with images of the abutments scanned and stored before implant surgery. By fabricating the final prosthesis with the abutments obtained by merging can increase the marginal fitness of the final prosthesis and simplify the clinical process.

• Journal of KIISE:Databases
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• v.41 no.4
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• pp.199-208
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• 2014

In this paper, we represent a system of identification and feature search for scanned comics in consideration of their content characteristics. For creating the feature of the scanned comics, we utilize a method of hierarchical symmetry fingerprinting. Proposed identification and search system is designed to give online service provider, such as Webhard, an immediate identification result under conditions of huge volume of the scanned comics. In simulation part, we analyze the robustness of the identification of the fingerprint to image modification such as rotation and translation. Also, we represent a structure of database for fast matching in feature point database, and compare search performance between other existing searching methods such as full-search and most significant feature search.